US8063817B2 - Method for cross-range enhancement of real-beam radar imagery - Google Patents

Method for cross-range enhancement of real-beam radar imagery Download PDF

Info

Publication number
US8063817B2
US8063817B2 US12/549,074 US54907409A US8063817B2 US 8063817 B2 US8063817 B2 US 8063817B2 US 54907409 A US54907409 A US 54907409A US 8063817 B2 US8063817 B2 US 8063817B2
Authority
US
United States
Prior art keywords
azimuth
function
window function
radar
bin
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
US12/549,074
Other languages
English (en)
Other versions
US20110050485A1 (en
Inventor
Paul Christianson
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Honeywell International Inc
Original Assignee
Honeywell International Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Honeywell International Inc filed Critical Honeywell International Inc
Priority to US12/549,074 priority Critical patent/US8063817B2/en
Assigned to HONEYWELL INTERNATIONAL INC. reassignment HONEYWELL INTERNATIONAL INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHRISTIANSON, PAUL
Priority to EP10172440.9A priority patent/EP2290398B1/en
Priority to JP2010184862A priority patent/JP5670122B2/ja
Publication of US20110050485A1 publication Critical patent/US20110050485A1/en
Application granted granted Critical
Publication of US8063817B2 publication Critical patent/US8063817B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06—Systems determining position data of a target
    • G01S13/42—Simultaneous measurement of distance and other co-ordinates

Definitions

  • Airborne radar is used in aircraft navigation to generate a radar map of the ground in the vicinity of the aircraft.
  • the antenna aperture area available to an airborne radar device is limited, leading to a relatively large angular width of the anterna's main beam.
  • the width of the beam can result in substantial “smearing” of the map imagery in the cross-range direction, especially in the case of highly reflective targets that are narrow relative to the beam width along the length of the azimuth.
  • image smearing can make it difficult for a pilot to identify features on the ground important for the effective use of the imagery.
  • Signal-processing techniques exist that improve the cross-range resolution of radar ground maps.
  • One commonly used technique uses the gradient in Doppler frequency across the antenna's main beam to sharpen the image.
  • a disadvantage of this technique is that the gradient in Doppler frequency approaches zero as the pointing direction of the antenna approaches the direction of the velocity vector. Therefore, this technique carries the disadvantage of not being effective in the direction in which the aircraft is travelling.
  • Another technique for resolution enhancement uses monopulse radar. Processing of monopulse radar signals provides cross-range enhancement independent of direction, but unlike Doppler methods does not provide true resolution improvement.
  • the mono-pulse technique also comes at the cost of significant additional expense and complexity.
  • the present invention includes a method and apparatus for enhancing the resolution of a radar image in the cross-range direction.
  • the method includes pointing a radar antenna in the direction of one of a plurality of azimuth directions, transmitting a radar signal, receiving a reflected radar signal, processing the reflected radar signal, repeating the steps of pointing, transmitting, receiving and processing for a plurality of azimuth directions as the antenna is scanned in azimuth, composing an array of values corresponding to the plurality of reflected radar signal power samples received and processed, and converting the array into a map image.
  • the method further includes creating a received power azimuth bin array, calculating a window function of a form similar to the antenna beam discrete target response pattern, calculating at least one product function by multiplying the function consisting of the array of received signal power samples by the window function, calculating an estimated azimuth bin offset from the mean of the product function, calculating the azimuth direction of an estimated target location from the azimuth bin offset, and adding a reflected power value corresponding to the integral of the product function to an element of a new azimuth bin array corresponding to the estimated target location.
  • the method further includes calculating a plurality of product functions for a plurality of positions of the window function along the azimuth, the individual product functions corresponding to individual window function positions, adding at least one reflected power value to at least one value stored in an element of the azimuth bin array, whereby the element of the new azimuth bin array corresponds to the azimuth direction of the estimated target location, and substituting a pattern of values stored in the new azimuth bin array for the received signal power samples, whereby the resolution of the map image becomes enhanced.
  • the apparatus includes an antenna, a transmit circuit, a receive circuit, a map display, a control device and a processor.
  • the processor constructs a function in the cross-range, or azimuth, dimension for a number of range bins from received radar signal samples and converts the azimuth functions for each of the ranges into a map image.
  • the processor enhances the map image resolution using the method described above.
  • One benefit of the method is that the method is not dependent on the direction of the velocity vector, as with Doppler resolution-enhancing methods. Another advantage is that the disclosed method can result in substantial cost savings over monopulse methods for resolution enhancement due to the invention's lower level of complexity.
  • FIG. 1 shows a schematic diagram of an example airborne radar device formed in accordance with the present invention
  • FIG. 2 shows a flow diagram of a method for creating and displaying a radar ground map as performed by the airborne radar device of FIG. 1 ;
  • FIG. 3 shows a flow diagram of a method for resolution enhancing a radar ground map performed by the airborne radar device of FIG. 1 ;
  • FIG. 4 shows a geometric drawing of a radar beam transmitted through an example azimuth containing a target as performed by the method of FIG. 2 ;
  • FIGS. 5A-5F show example radar beam directions subsequent to the beam direction of FIG. 4 during a radar beam sweep along the example azimuth;
  • FIG. 6 shows a plot of an example measured power azimuth bin array corresponding to reflected radar signal power samples received and processed by the method of FIG. 2 ;
  • FIG. 7 shows a plot of an example window function for the measured power azimuth bin array of FIG. 6 ;
  • FIG. 8 shows on a first plot the measured power azimuth bin array of FIG. 6 and the window function of FIG. 7 , with the window function mean positioned at azimuth direction 4 , and on a second plot the product of the two functions calculated according to the method of FIG. 3 ;
  • FIG. 9 shows a plot of a reconstructed power azimuth bin array of the method of FIG. 3 for the product function of FIG. 8 ;
  • FIG. 10 shows on a first and second plot the responses of FIG. 8 , except with the window function mean positioned at azimuth direction 5 ;
  • FIG. 11 shows on a first and second plot the responses of FIG. 8 , except with the window function mean positioned at azimuth direction 6 ;
  • FIG. 12 shows on a first and second plot the responses of FIG. 8 , except with the window function mean positioned at azimuth direction 7 ;
  • FIG. 13 shows a plot of the reconstructed power azimuth bin array summed for the product functions of FIGS. 8 and 10 - 12 .
  • FIG. 1 is an example airborne radar device 10 used in aircraft navigation to generate a radar map of the ground in the vicinity of an aircraft.
  • the airborne radar device 10 includes an antenna 11 , a transmit circuit 12 , a receive circuit 13 , a processor 14 , a memory 15 , a map display 16 , and a control device 17 .
  • the antenna 11 is in signal communication with the transmit circuit 12 and the receive circuit 13 .
  • the transmit circuit 12 and the receive circuit 13 are each in signal communication with the processor 14 .
  • the processor 14 is in signal communication with the memory 15 , the map display 16 , and the control device 17 .
  • the airborne radar device 10 transmits and receives radar signals, converts the received radar signal into processor-interpretable data, and displays the processed image data in map form.
  • Outgoing radar power signals generated by the transmit circuit 12 and incoming radar power signals reflected from a target are transmitted and received by the antenna 11 .
  • the received radar signal is decoded into a processor-interpretable signal by the receive circuit 13 .
  • the processor-interpretable signal is interpreted by the processor 14 in a signal processing operation that includes extraction of image data from the processor-interpretable signal.
  • Command of the transmit circuit 12 , delivery of image data to the map display 16 , receipt of control parameters from the control device 17 , and measures to enhance the resolution of the map image are other functions performed by the processor 14 .
  • Data and control parameters received from the processor 14 are either temporarily or permanently stored by the memory 15 .
  • Image data corresponding to the received power signal is displayed by the map display 16 .
  • Input control parameters selected by a radar operator are received by the control device 17 .
  • the airborne radar device 10 displays a radar map image according to a radar mapping method 20 .
  • the radar antenna 11 initiates a scan in a cross-range, or azimuth, dimension.
  • the antenna 11 transmits a radar power signal in the direction of the scanned azimuth of block 21 .
  • the antenna 11 receives a reflected radar response signal.
  • the processor 14 processes the received radar response signals of block 23 and records values in bins of a measured power azimuth bin array corresponding to the intensity of the reflected signal.
  • the processor 14 converts the values of the measured power azimuth bin array into a reconstructed azimuth bin array according to an image enhancement method 28 of FIG. 3 .
  • the airborne radar device 10 displays a radar map image corresponding to the reconstructed azimuth bin array.
  • the processor 14 enhances the resolution of the radar map displayed in FIG. 2 by the image enhancement method 28 .
  • the processor 14 calculates a product function by multiplying the measured power azimuth bin array of block 24 in FIG. 2 by a pre-defined window function for one position of the window function along the azimuth.
  • the pre-defined window function is derived from a two-way antenna radiation pattern in azimuth.
  • the two-way antenna radiation pattern is modeled by a Gaussian function therefore, a Gaussian form for the window function is appropriate.
  • another model could be used, as long as the selected function is similar to the two-way antenna main beam pattern.
  • the processor 14 calculates the mean and a reflected power value of the product function.
  • the reflected power value corresponds to the integral of the product function.
  • the processor 14 calculates an estimated azimuth bin offset by subtracting window function mean from the product function mean, multiplying by two, and rounding to the nearest integer.
  • the estimated azimuth bin offset corresponds to an estimate of the distance along the azimuth between the mean of the product function and an estimate of the target location.
  • the processor 14 calculates the estimated target location by adding the estimated azimuth bin offset to the window function mean.
  • the processor 14 adds the reflected power value of block 34 to the bin of the reconstructed azimuth bin array corresponding to estimated target location of block 39 .
  • the processor 14 either calculates another product function at the block 30 for a new position of the window function along the azimuth, or alternately at a block 41 stops processing.
  • the degree to which image resolution improves is approximately proportional to the number of unique positions of the window function along the azimuth for which blocks 30 through 39 are executed. Therefore blocks 30 through 39 may be re-executed for subsequent positions of the window function along the azimuth in order to further improve map image resolution.
  • a radar beam 44 is transmitted so that the beam 44 intersects one of a plurality of azimuth directions 45 along an azimuth 43 .
  • the radar beam 44 is pointed toward only one azimuth direction 45 , the beam's width may intersect a plurality of neighboring azimuth directions 45 at one time.
  • a radar power signal is transmitted and a reflected radar response signal is received, according to blocks 22 and 23 of FIG. 2 .
  • the beam 44 then advances to a subsequent direction 45 along the azimuth 43 .
  • FIGS. 5A-5F exhibit six individual radar beam directions 50 , 51 , 52 , 53 , 54 , 55 of the radar beam 44 of FIG. 4 .
  • radar beam directions 50 , 51 , 52 , 53 , 54 , 55 in FIGS. 5A-5F can be viewed as a scan of the azimuth 43 by the radar beam 44 .
  • FIGS. 5A-5C the beam 44 approaches a target 46 .
  • FIG. 5D the beam 44 intersects the target 46 .
  • FIGS. 5E-5F the beam 44 moves away from the target 46 . Because beam 44 has width that may include several azimuth directions 45 at one time, even at azimuth directions that do not directly intersect the target 46 , the reflected response signal may still include power reflected from the target 46 .
  • the reflected radar response signals of a scan of azimuth 43 can be used to identify the approximate location of a target 46 along the azimuth.
  • the plot of FIG. 6 shows a measured power azimuth bin array 60 corresponding to the six radar beam directions of the scan in FIGS. 5A-F .
  • the intensity of the received (reflected) power increases the closer the radar beam is pointed to the target 46 .
  • the location of the target 46 can be identified by the highest intensity bin of the measured power azimuth bin array 60 , but because neighboring bins also have received power, it's not possible to precisely identify the width and location of the target 46 .
  • FIG. 7 shows a window function 70 selected to correspond with the measured power azimuth bin array 60 of FIG. 6 .
  • the window function 70 is a function that is non-negative within some chosen interval, and zero or approaching zero outside the chosen interval.
  • the multiplication of the measured power azimuth bin array 60 and the window function 70 produces a product function 74 that is shaped similarly to its two factors 60 , 70 and has as its mean 76 an azimuth direction midway between the peaks of the two factor functions 60 , 70 .
  • FIG. 8 shows this multiplication for the case where the window function 70 is positioned with its mean 72 at azimuth direction 4 .
  • the scaled power at each azimuth direction 45 of the product function 74 is the product of the received power from the azimuth bin array 60 and the magnitude of the window function 70 at each azimuth direction 45 .
  • the received power equals four and the magnitude of the window function 70 equals eight, therefore the scaled power at azimuth direction 5 equals 32 .
  • Calculation of the product function 74 is the first operation, the block 30 , of the image enhancement method 28 of FIG. 3 .
  • FIG. 8 also shows the result of a calculation of the product function mean 76 and a reflected power value 80 , as described in blocks 32 and 34 of the image enhancement method 28 of FIG. 3 .
  • the product function mean 76 is calculated by taking the mean of the product function 74 .
  • the reflected power value 80 is calculated by taking the integral of the product function 74 .
  • an estimated azimuth bin offset is calculated. As shown in FIG. 8 , first an intermediate offset value 78 is calculated by subtracting the window function mean 72 from the product function mean 76 . The estimated azimuth bin offset 84 is then calculated from the intermediate value 78 by multiplying the intermediate offset value 78 by two, and rounding to the nearest integer. This operation coincides with block 36 of the image enhancement method 28 .
  • an estimated target location 88 is calculated. As shown in FIG. 9 , by adding the estimated azimuth bin offset 84 to the window function mean 72 of FIG. 8 , the estimated target location 88 along the azimuth 43 is identified. This operation coincides with the block 38 of the image enhancement method 28 .
  • the reflected power value 80 calculated at the block 34 is then added to a bin of a reconstructed azimuth bin array 90 coinciding with the estimated target location 88 .
  • the reflected power value 80 from FIG. 8 equal to 25 is plotted at azimuth direction 7 , which is the estimated target location 88 . This operation coincides with the block 39 of the image enhancement method 28 .
  • the operations within the image enhancement method 28 are repeated for a series of positions of the window function 70 on the azimuth 43 .
  • FIG. 13 shows a plot of the reconstructed azimuth bin array 90 for an incomplete series of window function positions (only directions 4 - 7 ), but demonstrates that over repeated iterations of the image enhancement method 28 , the reconstructed azimuth bin array 90 increases the reflected power value stored in bins close to the target location, and reduces the reflected power value in bins of the array away from the target.

Landscapes

  • Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Radar Systems Or Details Thereof (AREA)
US12/549,074 2009-08-27 2009-08-27 Method for cross-range enhancement of real-beam radar imagery Active US8063817B2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US12/549,074 US8063817B2 (en) 2009-08-27 2009-08-27 Method for cross-range enhancement of real-beam radar imagery
EP10172440.9A EP2290398B1 (en) 2009-08-27 2010-08-10 Method for cross-range enhancement of real-beam radar imagery
JP2010184862A JP5670122B2 (ja) 2009-08-27 2010-08-20 実ビームのレーダ画像のクロスレンジ向上のための方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US12/549,074 US8063817B2 (en) 2009-08-27 2009-08-27 Method for cross-range enhancement of real-beam radar imagery

Publications (2)

Publication Number Publication Date
US20110050485A1 US20110050485A1 (en) 2011-03-03
US8063817B2 true US8063817B2 (en) 2011-11-22

Family

ID=43229504

Family Applications (1)

Application Number Title Priority Date Filing Date
US12/549,074 Active US8063817B2 (en) 2009-08-27 2009-08-27 Method for cross-range enhancement of real-beam radar imagery

Country Status (3)

Country Link
US (1) US8063817B2 (https=)
EP (1) EP2290398B1 (https=)
JP (1) JP5670122B2 (https=)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154209A1 (en) * 2010-12-16 2012-06-21 Honeywell International Inc. Systems and methods for predicting locations of weather relative to an aircraft
US11656334B2 (en) 2018-03-23 2023-05-23 Xonar Technology Inc. System and method for detecting object patterns using ultra-wideband (UWB) radar
US12571906B2 (en) 2018-03-23 2026-03-10 Xonar Technology Inc. System and method for detecting object patterns using ultra-wideband (UWB) radar

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5722026B2 (ja) * 2010-12-28 2015-05-20 日本無線株式会社 到来方向推定方式
CN109991598B (zh) * 2017-12-29 2024-09-03 西门子（中国）有限公司 阵列调频雷达实时断面测量装置和方法

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5381152A (en) * 1992-10-05 1995-01-10 Deutsche Aerospace Ag Unfocussed signal processing apparatus for a synthetic aperture radar having a rotating antenna
US5519402A (en) * 1994-04-28 1996-05-21 Advantest Corporation Doppler shift compensation apparatus
US5563604A (en) * 1995-02-08 1996-10-08 Alliedsignal Inc. Weather radar using spectral gaussian envelope discrimination for clutter rejection
US5608404A (en) * 1993-06-23 1997-03-04 The United States Of America As Represented By The United States Department Of Energy Imaging synthetic aperture radar
US5630154A (en) * 1994-10-11 1997-05-13 Hughes Aircraft Company Programmable systolic array system arranged in a found arrangement for passing data through programmable number of cells in a time interleaved manner
US5699067A (en) * 1996-06-28 1997-12-16 Hughes Aircraft Company Radar plot display with low CPU loading
US6686870B2 (en) * 2002-02-14 2004-02-03 Murata Manufacturing Co., Ltd. Radar
US6750804B2 (en) * 2002-04-04 2004-06-15 Raytheon Company System and method for detecting and estimating the direction of near-stationary targets in monostatic clutter using phase information
US7336218B2 (en) * 2004-05-11 2008-02-26 Murata Manufacturing Co., Ltd. Radar system with peak frequency analysis and window functions
US7432849B2 (en) * 2006-09-20 2008-10-07 Mitsubishi Electric Corporation Frequency modulation radar apparatus for vehicle use background of the invention
US7642953B2 (en) * 2007-07-19 2010-01-05 The Boeing Company Method and apparatus for three dimensional tomographic image reconstruction of objects
US7782248B2 (en) * 2008-04-22 2010-08-24 Inha-Industry Partnership Institute UWB distance measurement system and method of driving the same
US7839953B2 (en) * 2006-05-25 2010-11-23 Kabushiki Kaisha Toshiba Transmission signal generating unit and radar transmission device using the same

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2235346B (en) * 1989-08-25 1994-01-05 Marconi Co Ltd Radar receiver
US6046695A (en) * 1996-07-11 2000-04-04 Science Application International Corporation Phase gradient auto-focus for SAR images
JPH11118898A (ja) * 1997-10-20 1999-04-30 Fujitsu Ltd 電波方位計測システム

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5381152A (en) * 1992-10-05 1995-01-10 Deutsche Aerospace Ag Unfocussed signal processing apparatus for a synthetic aperture radar having a rotating antenna
US5608404A (en) * 1993-06-23 1997-03-04 The United States Of America As Represented By The United States Department Of Energy Imaging synthetic aperture radar
US5519402A (en) * 1994-04-28 1996-05-21 Advantest Corporation Doppler shift compensation apparatus
US5630154A (en) * 1994-10-11 1997-05-13 Hughes Aircraft Company Programmable systolic array system arranged in a found arrangement for passing data through programmable number of cells in a time interleaved manner
US5563604A (en) * 1995-02-08 1996-10-08 Alliedsignal Inc. Weather radar using spectral gaussian envelope discrimination for clutter rejection
US5699067A (en) * 1996-06-28 1997-12-16 Hughes Aircraft Company Radar plot display with low CPU loading
US6686870B2 (en) * 2002-02-14 2004-02-03 Murata Manufacturing Co., Ltd. Radar
US6750804B2 (en) * 2002-04-04 2004-06-15 Raytheon Company System and method for detecting and estimating the direction of near-stationary targets in monostatic clutter using phase information
US7336218B2 (en) * 2004-05-11 2008-02-26 Murata Manufacturing Co., Ltd. Radar system with peak frequency analysis and window functions
US7839953B2 (en) * 2006-05-25 2010-11-23 Kabushiki Kaisha Toshiba Transmission signal generating unit and radar transmission device using the same
US7432849B2 (en) * 2006-09-20 2008-10-07 Mitsubishi Electric Corporation Frequency modulation radar apparatus for vehicle use background of the invention
US7642953B2 (en) * 2007-07-19 2010-01-05 The Boeing Company Method and apparatus for three dimensional tomographic image reconstruction of objects
US7782248B2 (en) * 2008-04-22 2010-08-24 Inha-Industry Partnership Institute UWB distance measurement system and method of driving the same

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120154209A1 (en) * 2010-12-16 2012-06-21 Honeywell International Inc. Systems and methods for predicting locations of weather relative to an aircraft
US8319679B2 (en) * 2010-12-16 2012-11-27 Honeywell International Inc. Systems and methods for predicting locations of weather relative to an aircraft
US11656334B2 (en) 2018-03-23 2023-05-23 Xonar Technology Inc. System and method for detecting object patterns using ultra-wideband (UWB) radar
US12571906B2 (en) 2018-03-23 2026-03-10 Xonar Technology Inc. System and method for detecting object patterns using ultra-wideband (UWB) radar

Also Published As

Publication number Publication date
EP2290398A3 (en) 2012-06-06
JP5670122B2 (ja) 2015-02-18
EP2290398B1 (en) 2017-04-05
JP2011047936A (ja) 2011-03-10
EP2290398A2 (en) 2011-03-02
US20110050485A1 (en) 2011-03-03

Similar Documents

Publication Publication Date Title
US9274221B2 (en) Method and apparatus for remote object sensing employing compressive sensing
JP5658871B2 (ja) 信号処理装置、レーダ装置、信号処理プログラム及び信号処理方法
US9746554B2 (en) Radar imaging system and related techniques
CN116359908A (zh) 点云数据增强方法、装置、计算机设备、系统及存储介质
KR20100032816A (ko) 리얼 빔 레이더에 대한 거리 및 방위 분해능 향상
EP3300052A1 (en) Road information sensing device and road information sensing method
US8063817B2 (en) Method for cross-range enhancement of real-beam radar imagery
CN115047456A (zh) 无人驾驶车三维全景感知方法和雷达系统
CN111183369B (zh) 传感器阵列成像设备
JP4850898B2 (ja) レーダ装置
CN115980746A (zh) 一种可行驶区域的检测方法、装置、车辆及存储介质
CN107942295A (zh) 一种前视阵列sar系统的稀疏天线
Jose et al. Predicting millimeter wave radar spectra for autonomous navigation
JP2013152157A (ja) 信号選別装置、信号選別方法、及びレーダ装置。
EP3226025A1 (en) Tracking processing device and tracking processing method
US20060238410A1 (en) Reducing antenna boresight error
CN120122068B (zh) 辅助自聚焦处理的斜平面机载条带回波仿真方法及设备
JP2003344532A (ja) レーダ装置
CN114924269A (zh) 一种基于星载f-scan sar的距离向模糊度分析方法
KR20200117602A (ko) Sar 영상의 객체 응답 초해상도화 방법 및 객체 응답 초해상도화 장치
US6356227B1 (en) Smearing compensation apparatus for a radar system
US6650272B2 (en) Radar system and method
US12025693B2 (en) Method for correcting a synthetic aperture radar antenna beam image
JP2011196808A (ja) レーダ装置
JP5730565B2 (ja) レーダ信号処理装置およびレーダ画像処理装置

Legal Events

Date Code Title Description
AS Assignment

Owner name: HONEYWELL INTERNATIONAL INC., NEW JERSEY

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CHRISTIANSON, PAUL;REEL/FRAME:023158/0348

Effective date: 20090820

STCF Information on status: patent grant

Free format text: PATENTED CASE

FPAY Fee payment

Year of fee payment: 4

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 8

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 12TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1553); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 12